Mixtures of Unsupervised Lexicon Classification
Computation and Language
2024-05-28 v1 Artificial Intelligence
Computer Vision and Pattern Recognition
Machine Learning
Abstract
This paper presents a mixture version of the method-of-moment unsupervised lexicon classification by an incorporation of a Dirichlet process.
Cite
@article{arxiv.2405.17116,
title = {Mixtures of Unsupervised Lexicon Classification},
author = {Peratham Wiriyathammabhum},
journal= {arXiv preprint arXiv:2405.17116},
year = {2024}
}
Comments
A draft on lexicon classification unsupervised learning. It shows that aggregating lexicon scores is equivalent to a finite mixture of multinomial Naive Bayes models. A very preliminary work of a few days man-hours, like a weekly report/note, but might be useful